Datasets › ISIC 2017 Task 2

ISIC 2017 Task 2

Introduced by Noel C. F. Codella et al. in Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)1 Jan 2018 archive 2025-07-28

The ISIC 2017 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images. The Task 2 challenge dataset for lesion dermoscopic feature extraction contains the original lesion image, a corresponding superpixel mask, and superpixel-mapped expert annotations of the presence and absence of the following features: (a) network, (b) negative network, (c) streaks and (d) milia-like cysts.

Source: https://challenge.isic-archive.com/landing/2017/43 Image Source: https://challenge.isic-archive.com/landing/2017/43

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Lesion Segmentation Lesion Classification

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images Medical

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

ISIC 2017 Task 2

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections